Oil pollution cleaning early warning method and system for steaming and baking equipment

Abstract

The present invention discloses an oil pollution cleaning early warning method and system for steaming and baking equipment, which relates to the field of equipment early warning technology, including: obtaining the oil droplet distribution position on the inner wall of the steaming and baking equipment based on infrared thermal imaging images; analyzing the movement path of the oil droplets according to the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment; calculating the movement parameters of the oil droplets according to the cavity environment parameters to predict the position change of the oil droplets; predicting the confluence position and confluence time of different oil droplets according to the movement path and the position change; obtaining the oil droplet aggregation amount at the oil droplet confluence position, comparing the oil droplet aggregation amount with the standard threshold, outputting the comparison result, and generating early warning information to remind the user to clean the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point. According to the convergence of oil pollution inside the steaming and baking equipment, early warning information is generated, which can timely remind the user to clean the oil pollution inside the equipment, thereby improving the reliability of the use of the steaming and baking equipment.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of equipment early warning, and in particular to an oil pollution cleaning early warning method and system for steaming and baking equipment. Background Art

[0002] An intelligent kitchen combines the kitchen with intelligent technology. Through intelligent kitchen appliances, users can obtain the usage status of kitchen appliances through mobile terminal devices, thereby improving kitchen work efficiency and allowing users to complete cooking operations more conveniently.

[0003] The steam-bake combination device is one of the kitchen appliances that can meet the daily cooking needs of users. After long-term use, the steam-bake combination device is prone to oil stains hanging on the inner wall of the heating cavity of the device. Since the cleaning operation inside the cavity of the steam-bake combination device currently mainly relies on the user to arrange time for cleaning, human negligence may cause oil stains to drip onto the food during the operation of the device, affecting the user experience of using the steam-bake combination device. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides an oil stain cleaning and early warning method and system for steaming and baking equipment. By detecting oil stains and oil droplets inside the cavity of the steaming and baking equipment, the oil droplet gathering position and dripping time are predicted, thereby generating early warning information to remind users to clean, avoid oil droplets contaminating food ingredients, and improve the user experience of the steaming and baking equipment.

[0005] The present invention provides an early warning method for cleaning oil pollution of steaming and baking equipment, the early warning method comprising:

[0006] S11: acquiring an infrared thermal imaging image of the inner wall of the steaming and baking device, and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image;

[0007] S12: obtaining the running direction of the oil droplets according to the infrared thermal imaging image of the oil droplets, and analyzing the moving path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment;

[0008] S13: obtaining cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculating motion parameters of the oil droplets according to the cavity environment parameters, and predicting a position change of the oil droplets according to the motion parameters;

[0009] S14: obtaining the confluence position and corresponding confluence time of the oil droplets according to the movement paths and position changes of the different oil droplets;

[0010] S15: Obtain the amount of oil droplets gathered at the position where the oil droplets meet, and compare the amount of oil droplets gathered with the standard threshold. If the amount of oil droplets gathered is greater than the standard threshold, proceed to step S16; if the amount of oil droplets gathered is less than the standard threshold, return to step S12;

[0011] S16: Generate early warning information to remind the user to clean up the oil pollution in advance based on the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point.

[0012] Furthermore, the step of acquiring an infrared thermal imaging image of an inner wall of the steaming and baking device and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image comprises:

[0013] The interior of the steaming and baking device is fully scanned by detecting elements arranged at various positions of the interior of the steaming and baking device;

[0014] Acquire a scanned image of the interior of the steaming and baking device cavity, and extract the distribution state of the oil stain inside the steaming and baking device cavity based on the scanned image;

[0015] According to the oil distribution state inside the cavity of the steaming and baking equipment, the initial distribution positions of several oil droplets and the oil droplet size data are extracted.

[0016] Furthermore, the method of obtaining the running direction of the oil droplets according to the infrared thermal imaging image of the oil droplets and analyzing the movement path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking device includes:

[0017] Obtain the internal shape data of the cavity of the steaming and baking equipment and extract the structural parameters of the inner wall of the cavity;

[0018] Obtaining the movement direction of each oil droplet according to the structural parameters of the inner wall of the cavity;

[0019] The moving path of each oil droplet is generated according to the moving direction of each oil droplet.

[0020] Furthermore, the step of acquiring the cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculating the motion parameters of the oil droplets according to the cavity environment parameters, and predicting the position change of the oil droplets according to the motion parameters includes:

[0021] Acquiring cavity environment parameters of the steaming and baking device through a sensing mechanism, wherein the cavity environment parameters include temperature data and humidity data;

[0022] Extracting movement parameters of the oil droplet according to the temperature data and the humidity data, wherein the movement parameters include movement rate, surface tension and liquid pressure;

[0023] The position change of the oil droplet is calculated based on the motion parameters of the oil droplet and the SPH simulation model.

[0024] Furthermore, the calculation formula of the SPH simulation model is:

[0025] ;

[0026] in, is the change in the position of the oil drop, for The field quantity of the position, is the smooth kernel function, is the particle mass at the oil droplet location, is the particle density at the oil droplet position, is the initial position, is the position of the oil drop at time i, i and j are constants, and j is the amount of position change of the oil drop during the movement time.

[0027] Furthermore, obtaining the convergence position and corresponding convergence time of the oil droplets according to the movement paths and position changes of different oil droplets includes:

[0028] The movement path of the oil droplet is corrected according to the position change of the oil droplet, and the confluence point of the corrected movement paths of different oil droplets is obtained and marked as the confluence position;

[0029] Extract the oil droplet movement path involved in the confluence position, mark it as a sample path, and calculate the time point data of the oil droplet movement to the confluence position on each sample path;

[0030] The time point data of the oil droplets corresponding to each sample path are averaged to obtain the confluence time.

[0031] Furthermore, the predicted amount of oil droplet aggregation at the oil droplet confluence position is compared with a standard threshold. If the amount of oil droplet aggregation is greater than the standard threshold, the process proceeds to step S16. If the amount of oil droplet aggregation is less than the standard threshold, the process returns to step S12, including:

[0032] Extracting the minimum heating operating temperature of the steaming and baking device according to the model data of the steaming and baking device, and setting a standard threshold value of the amount of oil droplets on the inner wall of the cavity based on the minimum heating operating temperature;

[0033] Comparing the amount of oil droplet aggregation at the confluence position with the standard threshold, and outputting warning information if the amount of oil droplet aggregation is greater than the standard threshold;

[0034] If the amount of oil droplet aggregation is less than the standard threshold, the motion calculation of the oil droplets at the confluence position is performed.

[0035] Furthermore, the generation of early warning information to remind the user to clean up the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point includes:

[0036] Sending the warning information to the user's terminal device, and marking the oil stain distribution state and the corresponding oil stain collection position in the cavity of the steaming and baking device based on the warning information;

[0037] A buffer time is set according to the convergence time point, and a warning message is output before entering the buffer time.

[0038] Furthermore, the generation of early warning information to remind the user to clean up the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point also includes:

[0039] After the warning information is output, timing is performed, and when the remaining time until the oil droplets meet is less than the buffer time, the steaming and baking device issues an alarm prompt.

[0040] The present invention also provides an oil pollution cleaning early warning system for steaming and baking equipment, the early warning system is used to execute the oil pollution cleaning early warning method, and the early warning system comprises:

[0041] A detection component is used to obtain an infrared thermal imaging image of the inner wall of the steaming and baking device, and mark the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image;

[0042] The path analysis component obtains the running direction of the oil droplets based on the infrared thermal imaging image of the oil droplets, and analyzes the movement path of the oil droplets based on the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment;

[0043] A position calculation component, used for obtaining the cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculating the motion parameters of the oil droplets according to the cavity environment parameters, and predicting the position change of the oil droplets according to the motion parameters;

[0044] A time calculation component is used to predict the convergence position and corresponding convergence time of oil droplets according to the movement paths and position changes of different oil droplets;

[0045] A comparison component is used to obtain the amount of oil droplet aggregation at the oil droplet confluence position, compare the amount of oil droplet aggregation with a standard threshold, and output a comparison result;

[0046] The early warning component is used to generate early warning information to remind users to clean up the oil pollution in advance based on the oil droplet confluence position, oil droplet aggregation amount and corresponding confluence time point.

[0047] The present invention provides an oil stain cleaning and early warning method and system for steaming and baking equipment. The method detects oil stains and oil droplets inside the cavity of the steaming and baking equipment and predicts the oil droplet aggregation position and dripping time, thereby generating early warning information to remind users to clean the equipment in advance, thereby avoiding the situation where oil droplets contaminate food ingredients, improving the reliability of the steaming and baking equipment, and improving the user experience of the steaming and baking equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of an oil pollution cleaning and early warning method for a steaming and baking device according to an embodiment of the present invention;

[0049] Figure 2 Schematic diagram of an oil pollution cleaning early warning system for steaming and baking equipment in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Embodiment 1:

[0052] Figure 1 A schematic diagram of an early warning method for cleaning oil pollution of a steaming and baking device according to an embodiment of the present invention is shown. The early warning method includes:

[0053] An early warning system is configured in the steam-bake equipment. The early warning system monitors the distribution status of oil stains inside the cavity of the steam-bake equipment and the status of oil droplets hanging on the wall in real time, thereby sending an alarm to the user according to the oil stain status of the steam-bake equipment, thereby improving the user's experience of using the steam-bake equipment.

[0054] S11: acquiring an infrared thermal imaging image of the inner wall of the steaming and baking device, and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image.

[0055] By arranging a detection element inside the cavity of the steaming and baking device, when the steaming and baking device is in a non-working state, the detection element inside the cavity of the steaming and baking device can scan the inside of the cavity of the steaming and baking device, thereby obtaining the oil stain distribution state inside the cavity of the steaming and baking device.

[0056] Specifically, obtaining the oil stain distribution state on the inner wall of the steaming and baking device and marking the distribution position of the oil droplets in the steaming and baking device includes:

[0057] The interior of the steaming and baking device cavity is comprehensively scanned by setting detection elements at various positions of the interior cavity of the steaming and baking device. The detection elements can be configured as infrared detection sensors. Based on the infrared detection sensors, infrared thermal imaging scans are performed on the interior of the steaming and baking device cavity to obtain the oil stain distribution state and mark the oil droplet positions in the oil stain distribution state.

[0058] A scanning image of the inside of the steaming and baking equipment cavity is obtained, and the distribution state of oil stains inside the steaming and baking equipment cavity is extracted based on the scanning image. When the steaming and baking equipment finishes steaming or baking, and the temperature inside the cavity of the steaming and baking equipment is greater than room temperature and is between 35°C and 55°C, an infrared thermal imaging scan is performed on the inside of the equipment cavity through an infrared detection sensor. According to the difference in the rate of change of the oil stain temperature and the temperature of the inner wall of the equipment cavity, the distribution state of the oil stain can be distinguished in the scanning image.

[0059] Specifically, the initial distribution positions of several oil droplets and the oil droplet size data are extracted according to the oil stain distribution state inside the cavity of the steaming and baking equipment. The oil droplets are wall-hanging oil droplets formed by the accumulation of some oil stains at different positions on the inner wall of the cavity of the equipment. The distribution positions of the oil droplets can be obtained based on the thermal imaging scanning images, and the distribution positions of the oil droplets and the size data of the oil droplets can be obtained based on the thermal imaging images corresponding to the oil droplets. At the same time, the movement direction of the oil droplets can be obtained based on the heat movement trend of the thermal imaging images corresponding to the oil droplets, so as to predict and analyze the movement trajectory of the oil droplets.

[0060] S12: Obtain the running direction of the oil droplets according to the infrared thermal imaging image of the oil droplets, and analyze the movement path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment.

[0061] According to the equipment model of the steam-bake equipment, the structural design of the inner wall of the steam-bake equipment cavity is obtained, thereby obtaining the structural parameters of the steam-bake equipment, so as to analyze the movement direction of the oil droplets inside the steam-bake equipment according to the structural parameters of the steam-bake equipment.

[0062] Specifically, analyzing the movement path of the oil droplets according to the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking device includes:

[0063] The internal shape data of the cavity of the steaming and baking equipment is obtained, and the structural parameters of the inner wall of the cavity are extracted. The parameters of the inner wall of the cavity of the steaming and baking equipment include data such as the inclination, length, and texture characteristics of the inner wall of the cavity. Based on the structural parameters of the inner wall of the cavity of the steaming and baking equipment, the movement direction and trajectory of the oil droplets can be accurately predicted.

[0064] According to the structural parameters of the inner wall of the cavity, the movement direction of each oil droplet is obtained. Based on the structural parameters of the inner wall of the cavity of the steaming and baking equipment, the inclination of the inner wall of the cavity of the steaming and baking equipment is obtained. Combined with the heat movement change trend of the oil droplets in the thermal imaging scanning image, the movement direction of the oil droplets can be accurately obtained.

[0065] The movement path of each oil droplet is generated according to the movement direction of each oil droplet, and the movement path of the oil droplet on the inner wall of the steaming and baking device cavity is simulated based on the movement direction of the oil droplet and the structural parameters of the inner wall of the steaming and baking device cavity.

[0066] Furthermore, according to the working condition of the steaming and baking equipment, the historical scanning detection data of the steaming and baking equipment by the detection element is extracted, and the movement direction and movement path of the oil droplets at different positions are corrected by combining the historical scanning detection data, thereby improving the accuracy of the prediction of the movement direction and movement path of the oil droplets on the inner wall of the cavity of the steaming and baking equipment.

[0067] S13: Acquire cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculate movement parameters of the oil droplets according to the cavity environment parameters, and predict the position change of the oil droplets according to the movement parameters.

[0068] Several temperature sensors and several humidity sensors are arranged inside the cavity of the steaming and baking equipment. The temperature condition inside the cavity of the steaming and baking equipment can be obtained based on the temperature sensor, and the humidity condition inside the cavity of the steaming and baking equipment can be obtained based on the humidity sensor. Based on the temperature and humidity data of the cavity of the steaming and baking equipment, the accuracy of predicting the movement of oil droplets on the inner wall of the cavity of the steaming and baking equipment can be improved.

[0069] Furthermore, the working mode of the steam-bake equipment is determined according to the working requirements of the steam-bake equipment, that is, the working mode that the steam-bake equipment needs to execute is determined according to the user's usage requirements of the steam-bake equipment, and the working environment state of the steam-bake equipment is determined according to the working mode of the steam-bake equipment, so as to accurately predict the movement state of oil droplets in the steam-bake equipment according to the working mode of the steam-bake equipment.

[0070] Furthermore, in the present embodiment, the working modes of the steaming and baking device include: a cooking mode, a baking mode and a standby mode. Different working modes have different effects on the movement of oil droplets inside the cavity of the steaming and baking device. For example, in the cooking mode, the oil droplets are affected by water vapor, resulting in a large change in the surface tension of the oil droplets, which will increase the movement rate of the oil droplets and the speed at which the oil droplets aggregate and drip.

[0071] Specifically, the step of acquiring the cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculating the motion parameters of the oil droplets according to the cavity environment parameters, and predicting the position change of the oil droplets according to the motion parameters includes:

[0072] The cavity environmental parameters of the steaming and baking equipment are acquired through a sensing mechanism, and the cavity environmental parameters include temperature data and humidity data. The movement parameters of the oil droplets are extracted based on the temperature data and the humidity data, and the movement parameters include movement rate, surface tension and liquid pressure. That is, the movement parameters of the oil droplets on the inner wall of the cavity of the steaming and baking equipment are acquired under the internal environment of the cavity of the steaming and baking equipment, so as to detect the accumulation position of the oil droplets.

[0073] Furthermore, the temperature change of the cavity of the steaming and baking equipment is detected by a temperature sensor, and a calculated temperature is obtained based on the current cavity temperature and the temperature change. The surface tension and liquid pressure of the oil droplets are queried based on the calculated temperature. The historical data of the movement of the oil droplets on the inner wall of the cavity of the steaming and baking equipment is queried based on the calculated temperature, and the surface tension and liquid pressure data of the oil droplets corresponding to the calculated temperature are obtained.

[0074] Furthermore, the calculation formula for calculating the temperature is: ,in, To calculate the temperature, is the current cavity temperature, and μ is the temperature change rate.

[0075] Specifically, the humidity condition of the cavity environment of the steaming and baking equipment is obtained according to the humidity sensor, and the cavity environment of the steaming and baking equipment is marked as a baking environment according to the humidity condition, or the cavity environment of the steaming and baking equipment is marked as a cooking environment according to the humidity condition, and the movement rate of the oil droplets is selected according to the internal environment of the cavity of the steaming and baking equipment.

[0076] The position change of the oil droplet is calculated based on the motion parameters of the oil droplet and the SPH simulation model.

[0077] Specifically, the calculation formula of the SPH simulation model is:

[0078] ;

[0079] in, is the change in the position of the oil drop, for The field quantity of position, is the smooth kernel function, is the particle mass at the oil droplet location, is the particle density at the oil droplet position, is the initial position, is the position of the oil drop at time i, i and j are constants, and j is the amount of position change of the oil drop during the movement time.

[0080] Specifically, the momentum data of the oil droplet at the ith position is calculated based on the motion parameters of the oil droplet. In the present embodiment, the energy of the oil droplet moving from the initial position to the ith position is expressed as the momentum of the oil droplet, and the momentum of the oil droplet is used as a field quantity parameter for SPH model calculation.

[0081] The calculation formula of the oil droplet momentum is:

[0082] ;

[0083] in, for The field quantity of position, is the oil droplet density, is the speed of oil droplet movement, I is, is the movement time of the oil drop, is the gravitational acceleration of the oil drop, is the horizontal acceleration of the oil droplet, is the dynamic viscosity, b is the external force, is the gradient operation.

[0084] Furthermore, the SPH (Smoothed Particle Hydrodynamics) algorithm is a fluid simulation algorithm that can simply and quickly simulate the displacement changes of the fluid, approximate the movement of oil droplets on the inner wall of the cavity of the steaming and baking equipment to the motion of fluid particles, and calculate the position changes of the oil droplets based on the SPH simulation model. The movement position changes of the oil droplets can be quickly obtained, thereby improving the prediction efficiency of the steaming and baking equipment early warning system for the oil droplet movement.

[0085] S14: predicting the convergence position and corresponding convergence time of the oil droplets according to the movement paths and position changes of the different oil droplets.

[0086] The motion path of the oil droplet is corrected according to the change in the position of the oil droplet, and the convergence point of the corrected motion paths of different oil droplets is obtained and marked as the convergence position. According to the change in the position of the oil droplet and the movement direction of the oil droplet, the movement position point of the oil droplet in unit time is marked. Based on the various movement position points of the oil droplet, the motion path of the oil droplet can be corrected to improve the accuracy of the prediction analysis of the running convergence position of different oil droplets.

[0087] Furthermore, for multiple oil droplet running paths with intersection points, the distance between each intersection point is calculated. If the distance between two adjacent intersection points is less than the sum of the radii of the two groups of oil droplets, the midpoint position between the two adjacent intersection points is marked as the confluence position.

[0088] The running paths of several oil droplets that converge are extracted. The movement paths of the oil droplets involved in the convergence position are extracted and marked as sample paths. The time point data of the oil droplets on each sample path moving to the convergence position are calculated. The time point data of the oil droplets corresponding to each sample path are averaged to obtain the convergence time.

[0089] Furthermore, since different oil droplets can attract each other during the convergence process, that is, different oil droplets can accelerate the aggregation process when approaching each other, and realize the convergence of several oil droplets. By calculating the time when different oil droplets pass the convergence point and calculating the mean, the convergence time of each oil droplet can be predicted.

[0090] S15: Obtain the amount of oil droplet aggregation at the oil droplet confluence position, and compare the amount of oil droplet aggregation with the standard threshold. If the amount of oil droplet aggregation is greater than the standard threshold, proceed to step S16; if the amount of oil droplet aggregation is less than the standard threshold, return to step S12.

[0091] The minimum heating working temperature of the steam-bake equipment is extracted according to the model data of the steam-bake equipment. By querying the model specifications of the steam-bake equipment, the minimum heating temperature that can be quickly heated up when the steam-bake equipment is heating is obtained, that is, the heating temperature that the steam-bake equipment can quickly reach after the first heating. The standard threshold value of the oil droplets on the inner wall of the cavity is set based on the minimum heating working temperature. The maximum value of the oil droplets hanging on the wall is queried according to the minimum heating working temperature, and the maximum value is set as the standard threshold value.

[0092] The amount of oil droplets gathered at the confluence position is compared with the standard threshold value. If the amount of oil droplets gathered is greater than the standard threshold value, the amount of oil droplets gathered can drop rapidly when the steaming and baking device is working, and the early warning system of the steaming and baking device outputs early warning information.

[0093] If the amount of oil droplet aggregation is less than the standard threshold, the movement of the oil droplets at the confluence position is calculated, and the running path of the oil droplets is determined by analyzing the state of the oil droplets at the confluence position, that is, the operations of step S12 to step S15 are repeated.

[0094] Furthermore, if the internal energy of the oil droplets is static, the oil droplets stay and gather at the confluence position, and the aggregation of the oil droplets at the confluence position is monitored and analyzed in real time by acquiring the movement paths of other oil droplets.

[0095] Furthermore, when the oil droplets at the confluence position are in a stationary state and the stationary time of the oil droplets at the confluence position is greater than a preset time threshold, the early warning system of the steaming and baking equipment issues a warning message, that is, after the oil droplets hanging on the wall state continues for a certain period of time, the early warning system of the steaming and baking equipment can issue a warning message based on the oil droplets hanging on the wall state.

[0096] Furthermore, the time threshold may be set according to historical usage data of the steaming and baking device or device debugging data.

[0097] S16: Based on the predicted oil droplet confluence position, oil droplet aggregation amount and corresponding confluence time point, generate early warning information to remind the user to clean up the oil pollution in advance.

[0098] A wireless connection module is arranged inside the steaming and baking device, and the steaming and baking device is wirelessly connected to the user's mobile terminal device based on the wireless connection module, so that the early warning system of the steaming and baking device can send early warning information to the user's mobile terminal device through the wireless connection module, thereby achieving the purpose of reminding the user to clean.

[0099] Specifically, the generation of early warning information to remind the user to clean up the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point includes:

[0100] The warning information is sent to the user's terminal device, and the oil distribution status and the corresponding oil collection position inside the cavity of the steaming and baking equipment are marked based on the warning information, so that the user can clean the oil droplet collection position according to the warning information, thereby improving the reliability of the user's cleaning of the oil.

[0101] A buffer time is set according to the convergence time point, and warning information is output before entering the buffer time. A buffer time of more than 5 minutes is set before the time points when different oil droplets converge, so that the user has enough time to obtain the oil droplet cleaning warning information inside the cavity of the steaming and baking equipment, and adjust the use plan of the steaming and baking equipment according to their own needs.

[0102] Specifically, after the steaming and baking device sends a warning message to the user, the user can process the warning message through a mobile terminal device and feed back a processing signal to the steaming and baking device, and the steaming and baking device can stop monitoring the movement of oil droplets.

[0103] When the oil droplets gather, the early warning system of the steaming and baking device can regenerate early warning information according to the location and time of the oil droplet gathering, and send it to the user's mobile terminal device, thereby providing a second early warning to the user.

[0104] Specifically, the generating of warning information according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point also includes:

[0105] When the user does not operate the warning information, the warning system of the steaming and baking device will start timing after the warning information is output, and monitor the movement of the oil droplets in real time. When the remaining time until the oil droplets meet is less than the buffer time, the steaming and baking device will issue an alarm.

[0106] In addition, considering that the steam-bake device provides different cooking modes for different ingredients in actual use, the cavity has greatly different environmental parameters under different cooking modes, and the environmental parameters inside the cavity also have greatly different environmental parameters in different cooking stages of the same cooking mode, which may affect the actual movement of oil droplets on the inner wall of the cavity. To this end, the present invention also performs real-time correction on the prediction of the movement of oil droplets on the inner wall of the cavity according to the cooking mode of the steam-bake device.

[0107] It is understandable that the steaming and baking device has corresponding different cooking control timings in different cooking modes, so that the cavity of the steaming and baking device can obtain desired cooking temperature, humidity and other environmental parameters in different cooking time periods.

[0108] Specifically, when the steaming and baking equipment is in the cooking control timing corresponding to different cooking modes, the actual position change of the oil droplets, the actual confluence position of the oil droplets, the actual amount of oil droplet aggregation and the actual confluence time point are detected and determined respectively, and the neural network is used to fit the correlation function of the influence of the cooking control timing corresponding to the cooking mode on the movement of the oil droplets, and the correction coefficient group of the oil droplet position change, oil droplet confluence position, oil droplet aggregation and oil droplet confluence time point corresponding to various cooking modes of the steaming and baking equipment under different cooking control timings is determined.

[0109] Before step S16, the present invention uses a correction coefficient group to calibrate the predicted oil droplet confluence position, oil droplet aggregation amount and corresponding confluence time point, and generates warning information to remind the user to clean up the oil pollution in advance based on the corrected data.

[0110] A typical application scenario is as follows: before the user selects cooking mode A to start cooking, the steaming and baking device obtains the current distribution of oil droplets on the inner wall of the cavity through step S11, and then uses the fitted correlation function to calculate the impact of the cooking control timing corresponding to cooking mode A on the movement of the current oil droplets on the inner wall of the cavity; if the prediction shows that there is a high risk of dripping when cooking mode A is not completed, an early warning message is generated to prompt the user to clean the oil stains on the inner wall of the cavity before starting cooking mode A.

[0111] An embodiment of the present invention provides an oil stain cleaning and early warning method and system for a steam-bake appliance. The method detects oil stains and oil droplets inside the cavity of the steam-bake appliance and predicts the oil droplet aggregation position and dripping time, thereby generating early warning information to remind users to clean the appliance in advance, thereby avoiding the situation where oil droplets contaminate food ingredients, thereby improving the reliability of the steam-bake appliance and improving the user experience of the steam-bake appliance.

[0112] Embodiment 2:

[0113] Figure 2 A schematic diagram of an oil pollution cleaning early warning system for a steaming and baking device according to an embodiment of the present invention is shown. The early warning system is used to execute the oil pollution cleaning early warning method. The early warning system includes:

[0114] The detection component 10 is used to obtain the oil stain distribution state on the inner wall of the steaming and baking device and mark the distribution position of the oil droplets in the steaming and baking device.

[0115] The interior of the steaming and baking device is fully scanned by detecting elements arranged at various positions of the interior of the steaming and baking device;

[0116] Acquire a scanned image of the interior of the steaming and baking device cavity, and extract the distribution state of the oil stain inside the steaming and baking device cavity based on the scanned image;

[0117] According to the oil distribution state inside the cavity of the steaming and baking equipment, the initial distribution positions of several oil droplets and the oil droplet size data are extracted.

[0118] Obtain the internal shape data of the cavity of the steaming and baking equipment and extract the structural parameters of the inner wall of the cavity;

[0119] Obtaining the movement direction of each oil droplet according to the structural parameters of the inner wall of the cavity;

[0120] The moving path of each oil droplet is generated according to the moving direction of each oil droplet.

[0121] A path analysis component 20, used to analyze the movement path of the oil droplets according to the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking device;

[0122] The position calculation component 30 is used to obtain the cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculate the motion parameters of the oil droplets according to the cavity environment parameters, and predict the position change of the oil droplets according to the motion parameters;

[0123] Acquiring cavity environment parameters of the steaming and baking device through a sensing mechanism, wherein the cavity environment parameters include temperature data and humidity data;

[0124] Extracting movement parameters of the oil droplet according to the temperature data and the humidity data, wherein the movement parameters include movement rate, surface tension and liquid pressure;

[0125] The position change of the oil droplet is calculated based on the motion parameters of the oil droplet and the SPH simulation model.

[0126] The calculation formula of the SPH simulation model is:

[0127] ;

[0128] in, is the change in the position of the oil drop, for The field quantity of the position, is the smooth kernel function, is the particle mass at the oil droplet location, is the particle density at the oil droplet position, is the initial position, is the position of the oil drop at time i, i and j are constants, and j is the amount of position change of the oil drop during the movement time.

[0129] The time calculation component 40 is used to obtain the confluence position and corresponding confluence time of the oil droplets according to the movement paths and position changes of different oil droplets;

[0130] The movement path of the oil droplet is corrected according to the position change of the oil droplet, and the confluence point of the corrected movement paths of different oil droplets is obtained and marked as the confluence position;

[0131] Extract the oil droplet movement path involved in the confluence position, mark it as a sample path, and calculate the time point data of the oil droplet movement to the confluence position on each sample path;

[0132] The time point data of the oil droplets corresponding to each sample path are averaged to obtain the confluence time.

[0133] A comparison component 50 is used to obtain the amount of oil droplet aggregation at the oil droplet confluence position, compare the amount of oil droplet aggregation with a standard threshold, and output a comparison result;

[0134] Extracting the minimum heating operating temperature of the steaming and baking device according to the model data of the steaming and baking device, and setting a standard threshold value of the amount of oil droplets on the inner wall of the cavity based on the minimum heating operating temperature;

[0135] Comparing the amount of oil droplet aggregation at the confluence position with the standard threshold, and outputting warning information if the amount of oil droplet aggregation is greater than the standard threshold;

[0136] If the amount of oil droplet aggregation is less than the standard threshold, the motion calculation of the oil droplets at the confluence position is performed.

[0137] The early warning component 60 is used to generate early warning information according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point.

[0138] Sending the warning information to the user's terminal device, and marking the oil stain distribution state and the corresponding oil stain collection position in the cavity of the steaming and baking device based on the warning information;

[0139] A buffer time is set according to the convergence time point, and a warning message is output before entering the buffer time.

[0140] After the warning information is output, timing is performed, and when the remaining time until the oil droplets meet is less than the buffer time, the steaming and baking device issues an alarm prompt.

[0141] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0142] In addition, the above is a detailed introduction to the oil pollution cleaning early warning method and system for steaming and baking equipment provided by the embodiment of the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for early warning of oil pollution cleaning of steaming and baking equipment, characterized in that: The early warning method comprises: S11: acquiring an infrared thermal imaging image of the inner wall of the steaming and baking device, and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image; S12: obtaining the running direction of the oil droplets according to the infrared thermal imaging image of the oil droplets, and analyzing the moving path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment; S13: Acquiring cavity environment parameters of the steaming and baking device based on the sensing mechanism, calculating movement parameters of the oil droplets according to the cavity environment parameters, and predicting the position change of the oil droplets according to the movement parameters, specifically comprising: acquiring cavity environment parameters of the steaming and baking device through the sensing mechanism, the cavity environment parameters including temperature data and humidity data; extracting movement parameters of the oil droplets according to the temperature data and the humidity data, the movement parameters including movement rate, surface tension and liquid pressure; calculating the position change of the oil droplets according to the movement parameters of the oil droplets in combination with the SPH simulation model; S14: predicting the confluence position and corresponding confluence time of the oil droplets according to the movement paths and position changes of different oil droplets, specifically including: correcting the movement paths of the oil droplets according to the position changes of the oil droplets, obtaining the confluence points of the corrected movement paths of the different oil droplets, marking them as confluence positions; extracting the movement paths of the oil droplets involved in the confluence positions, marking them as sample paths, calculating the time point data of the oil droplets of each sample path moving to the confluence position; performing mean calculation on the time point data of the oil droplets corresponding to each sample path, and obtaining the confluence time; S15: Obtain the amount of oil droplets gathered at the position where the oil droplets meet, and compare the amount of oil droplets gathered with the standard threshold. If the amount of oil droplets gathered is greater than the standard threshold, proceed to step S16; if the amount of oil droplets gathered is less than the standard threshold, return to step S12; S16: Generate early warning information to remind the user to clean up the oil pollution in advance based on the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point.

2. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 1 is characterized in that: The step of acquiring an infrared thermal imaging image of the inner wall of the steaming and baking device and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image comprises: The interior of the steaming and baking device is fully scanned by detecting elements arranged at various positions of the interior of the steaming and baking device; Obtain an infrared thermal imaging image of the interior of the steaming and baking equipment cavity based on a comprehensive scan, and extract the distribution state of the oil stains inside the steaming and baking equipment cavity based on the infrared thermal imaging image; According to the oil distribution state inside the cavity of the steaming and baking equipment, the initial distribution positions of several oil droplets and the oil droplet size data are extracted.

3. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 1 is characterized in that: The method of obtaining the running direction of the oil droplets according to the infrared thermal imaging image of the oil droplets and analyzing the movement path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking device includes: Obtaining the movement direction of the oil droplets according to the heat movement trend of the thermal imaging image corresponding to the oil droplets; Obtain the internal shape data of the cavity of the steaming and baking equipment and extract the structural parameters of the inner wall of the cavity; The movement path of each oil droplet is generated according to the structural parameters of the inner wall of the cavity and the movement direction of each oil droplet.

4. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 1 is characterized in that: The calculation formula of the SPH simulation model is: ； in, is the change in the position of the oil drop, for The field quantity of position, is the smooth kernel function, is the particle mass at the oil droplet location, is the particle density at the oil droplet position, is the initial position, is the position of the oil drop at time i, i and j are constants, and j is the amount of position change of the oil drop during the movement time.

5. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 1 is characterized in that: The step of obtaining the amount of oil droplet aggregation at the oil droplet confluence position, comparing the amount of oil droplet aggregation with a standard threshold, and if the amount of oil droplet aggregation is greater than the standard threshold, proceeding to step S16, and if the amount of oil droplet aggregation is less than the standard threshold, returning to step S12, includes: Extracting the minimum heating operating temperature of the steaming and baking device according to the model data of the steaming and baking device, and setting a standard threshold value of the amount of oil droplets on the inner wall of the cavity based on the minimum heating operating temperature; Comparing the amount of oil droplet aggregation at the confluence position with the standard threshold, and outputting warning information if the amount of oil droplet aggregation is greater than the standard threshold; If the amount of oil droplet aggregation is less than the standard threshold, the motion calculation of the oil droplets at the confluence position is performed.

6. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 1, characterized in that: The generation of early warning information to remind the user to clean up the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point includes: Sending the warning information to the user's terminal device, and marking the oil stain distribution state and the corresponding oil stain collection position in the cavity of the steaming and baking device based on the warning information; A buffer time is set according to the convergence time point, and a warning message is output before entering the buffer time.

7. The oil pollution cleaning early warning method for steaming and baking equipment according to claim 6, characterized in that: The generation of early warning information to remind the user to clean up the oil pollution in advance according to the oil droplet confluence position, the oil droplet aggregation amount and the corresponding confluence time point also includes: After the warning information is output, timing is performed, and when the remaining time until the oil droplets meet is less than the buffer time, the steaming and baking device issues an alarm prompt.

8. An oil pollution cleaning early warning system for steaming and baking equipment, characterized in that: The early warning system is used to execute the oil pollution cleaning early warning method according to any one of claims 1 to 7, and the early warning system includes: A detection component, used for acquiring an infrared thermal imaging image of the inner wall of the steaming and baking device, and marking the distribution position of the oil droplets in the steaming and baking device according to the infrared thermal imaging image; A path analysis component is used to obtain the running direction of the oil droplets based on the infrared thermal imaging image of the oil droplets, and analyze the movement path of the oil droplets in combination with the distribution position of the oil droplets and the shape data of the internal cavity of the steaming and baking equipment; A position calculation component, used for obtaining the cavity environment parameters of the steaming and baking equipment based on the sensing mechanism, calculating the motion parameters of the oil droplets according to the cavity environment parameters, and predicting the position change of the oil droplets according to the motion parameters; A time calculation component is used to obtain the confluence position and corresponding confluence time of the oil droplets according to the movement paths and position changes of different oil droplets; A comparison component is used to obtain the amount of oil droplet aggregation at the oil droplet confluence position, compare the amount of oil droplet aggregation with a standard threshold, and output a comparison result; The early warning component is used to generate early warning information to remind users to clean up the oil pollution in advance based on the oil droplet confluence position, oil droplet aggregation amount and corresponding confluence time point.

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